Python爬去豆瓣数据生成磁云

说明：  测试多目标算法得函数,基于分解得多目标进化算法(Dynamic multi-objective optimization algorithm)

这个压缩包中的代码实现了机器人使用的一些常见的路径规划算法，包括基于搜索的算法和基于采样的算法。

说明：  用于abaqus中进行混凝土模拟，三维随机骨料模型。(It is used in ABAQUS for concrete simulation and three-dimensional random aggregate model.)

说明：  集中聚类算法的比较，包括K-means，FCM，谱聚类，DBSCAN，DPC聚类算法。(The comparison of clustering algorithms, including K-means, FCM, spectral clustering, DBSCAN, DPC clustering algorithm.)

python显示获得google地图文件及路径规划(python show google maps obtained documents and path planning)

机器学习的实践书，图灵程序设计用书。有需要的可以学习一下(Practice book of machine learning)

说明：  鼠标分析，可视化操作轨迹，方便我们查看用户的操作(usb mice data hacker)

说明：  该程序实现PCA的分类功能，程序后面有详细的解释，经检测，程序能够跑通(The program realizes the classification function of PCA. The program is explained in detail later. After testing, the program can run through.)

说明：  深度极限学习机也叫多层极限学习机，ML-ELM。是黄广斌等人在极限学习机ELM基础上，将其拓展为深度学习的一种模式识别方法，原文文章：Representational learning with extreme learning machine for big data。(The deep extreme learning machine is also called the multi-layer extreme learning machine, ML-ELM. It is Huang Guangbin and others who are based on the extreme learning machine ELM and expand it into a pattern recognition method for deep learning. Original article: Representational learning with extreme learning machine for big data.)

【实例简介】